Étiquette : research data policies

Catégories
EN

Status, use and impact of sharing individual participant data from clinical trials: a scoping review

Authors : Christian Ohmann, David Moher, Maximilian Siebert, Edith Motschall, Florian Naudet

Objectives

To explore the impact of data-sharing initiatives on the intent to share data, on actual data sharing, on the use of shared data and on research output and impact of shared data.

Eligibility criteria

All studies investigating data-sharing practices for individual participant data (IPD) from clinical trials.

Sources of evidence

We searched the Medline database, the Cochrane Library, the Science Citation Index Expanded and the Social Sciences Citation Index via Web of Science, and preprints and proceedings of the International Congress on Peer Review and Scientific Publication.

In addition, we inspected major clinical trial data-sharing platforms, contacted major journals/publishers, editorial groups and some funders.

Charting methods

Two reviewers independently extracted information on methods and results from resources identified using a standardised questionnaire. A map of the extracted data was constructed and accompanied by a narrative summary for each outcome domain.

Results

93 studies identified in the literature search (published between 2001 and 2020, median: 2018) and 5 from additional information sources were included in the scoping review. Most studies were descriptive and focused on early phases of the data-sharing process. While the willingness to share IPD from clinical trials is extremely high, actual data-sharing rates are suboptimal.

A survey of journal data suggests poor to moderate enforcement of the policies by publishers. Metrics provided by platforms suggest that a large majority of data remains unrequested. When requested, the purpose of the reuse is more often secondary analyses and meta-analyses, rarely re-analyses. Finally, studies focused on the real impact of data-sharing were rare and used surrogates such as citation metrics.

Conclusions

There is currently a gap in the evidence base for the impact of IPD sharing, which entails uncertainties in the implementation of current data-sharing policies. High level evidence is needed to assess whether the value of medical research increases with data-sharing practices.

URL : Status, use and impact of sharing individual participant data from clinical trials: a scoping review

Original location : https://bmjopen.bmj.com/content/11/8/e049228

Catégories
EN

Introducing a data availability policy for journals at IOP Publishing: Measuring the impact on authors and editorial teams

Authors : Jade Holt, Andrew Walker, Phill Jones

As the open research movement continues to gather pace, a number of publishers, funders, and institutions are mandating the sharing of underlying research data. At the same time, concerns about introducing extra quality control steps around data availability statements (DAS) are driving a discussion about the best way to make data more open without slowing down publication.

This article describes a pilot project to introduce a new Open Data policy to three IOP Publishing (IOPP) journals as part of IOPP’s commitment to increasing transparency and support for open science.

An investigation was undertaken using an automated workflow monitoring tool to understand the impact of this change on authors and the editorial staff. Changes in revised submission processing times and how often manuscripts were returned to the author were measured.

An overall increase in the time editorial staff spent processing manuscripts was found as well as an increase in the number of times manuscripts were returned to authors. Detailed analysis shows that manuscripts in which authors claim in the DAS to have included data within the manuscript were the most strongly affected. Steps to mitigate the effects through improved author communication were found to be effective.

URL : Introducing a data availability policy for journals at IOP Publishing: Measuring the impact on authors and editorial teams

DOI : https://doi.org/10.1002/leap.1386

Catégories
FR

Ouverture des données de recherche dans le domaine académique suisse : outils pour le choix d’une stratégie institutionnelle en matière de dépôt de données

Auteur/Author : Marielle Guirlet

Le contexte actuel de l’Open Science se traduit par des exigences d’ouverture des données de recherche. Le dépôt de données est un instrument crucial pour partager publiquement ces données.

Néanmoins, l’offre actuelle pléthorique et très diverse rend la sélection du dépôt difficile pour les chercheurs et les chercheuses. Pour les aider, leurs institutions d’affiliation émettent des recommandations pour le choix du meilleur dépôt. Elles proposent parfois aussi leur propre dépôt de données ou envisagent de le créer.

Cette étude, basée sur un travail de Master en sciences de l’information, s’intéresse à la démarche que les institutions académiques suisses peuvent suivre pour définir leur stratégie de soutien aux chercheurs et aux chercheuses en termes de dépôt.

Elle identifie aussi les informations qui vont aider ces institutions à choisir entre orienter ces chercheurs et ces chercheuses vers un dépôt existant (et lequel) et créer un nouveau dépôt, et aux spécifications que ce dépôt doit remplir.

Après avoir défini les concepts des données de recherche et des dépôts ouverts, les fonctionnalités, les outils et les services nécessaires à un dépôt pour mettre en œuvre le partage public de données sont discutés.

A partir des critères utilisés par la certification CoreTrustSeal pour évaluer la qualité d’un dépôt, et en tenant compte de ces fonctionnalités, de ces outils et ces services, un modèle de description d’un dépôt de données de recherche ouvertes est élaboré. Ce modèle peut être utilisé pour l’évaluation d’un dépôt existant ou pour la conception d’un nouveau dépôt.

Les stratégies de neuf institutions académiques suisses en matière de dépôt de données de recherche, dépôts utilisés et dépôts recommandés, sont analysées. Des recommandations sont formulées, sur la base des bonnes pratiques observées.

Des outils développés pour le choix de la meilleure stratégie en termes de dépôt de données de recherche ouvertes sont alors présentés. Un vade-mecum se présentant comme une liste de questions permet de collecter certaines informations utiles.

Un guide décisionnel accompagne l’institution dans sa réflexion et lui permet de choisir sa stratégie de façon éclairée, avec les informations collectées précédemment. Une fois cette stratégie choisie, des informations complémentaires et des recommandations sont disponibles pour sa mise en pratique.

Une version prototype de ces outils pour navigateur Internet est aussi présentée. Elle est adaptable à une évolution du contexte et transposable à d’autres pays.

URL : http://www.ressi.ch/num21/article182

Catégories
EN

A Review of Open Research Data Policies and Practices in China

Authors: Lili Zhang, Robert R. Downs, Jianhui Li, Liangming Wen, Chengzan Li

This paper initially conducts a literature review and content analysis of the open research data policies in China. Next, a series of exemplars describe data practices to promote and enable the use of open research data, including open data practices in research programs, data repositories, data journals, and citizen science.

Moreover, the top four driving forces are identified and analyzed along with their responsible guiding work. In addition, the “landscape of open research data ecology in China” is derived from the literature review and from observations of actual cases, where the interaction and mutual development of data policies, data programs, and data practices are recognized.

Finally, future trends of research data practices within China and internationally are discussed. We hope the analysis provides perspective on current open data practices in China along with insight into the need for additional research on scientific data sharing and management.

URL : A Review of Open Research Data Policies and Practices in China

DOI : http://doi.org/10.5334/dsj-2021-003

Catégories
EN

Implementing the RDA Research Data Policy Framework in Slovenian Scientific Journals

Authors: Janez Štebe, Maja Dolinar, Sonja Bezjak, Ana Inkret

The paper aims to present the implementation of the RDA research data policy framework in Slovenian scientific journals within the project RDA Node Slovenia. The activity aimed to implement the practice of data sharing and data citation in Slovenian scientific journals and was based on internationally renowned practices and policies, particularly the Research Data Policy Framework of the RDA Data Policy Standardization and Implementation Interest Group.

Following this, the RDA Node Slovenia coordination prepared a guidance document that allowed the four pilot participating journals (from fields of archaeology, history, linguistics and social sciences) to adjust their journal policies regarding data sharing, data citation, adapted the definitions of research data and suggested appropriate data repositories that suit their disciplinary specifics.

The comparison of results underlines how discipline-specific the aspects of data-sharing are. The pilot proved that a grass-root approach in advancing open science can be successful and well-received in the research community, however, it also pointed out several issues in scientific publishing that would benefit from a planned action on a national level.

The context of an underdeveloped data sharing culture, slow implementation of open data strategy by the national research funder and sparse national data service infrastructure creates a unique environment for this study, the result of which can be used in similar contexts worldwide.

URL : Implementing the RDA Research Data Policy Framework in Slovenian Scientific Journals

DOI : http://doi.org/10.5334/dsj-2020-049

Catégories
EN

Enforcing public data archiving policies in academic publishing: A study of ecology journals

Authors : Dan Sholler, Karthik Ram, Carl Boettiger, Daniel S Katz

To improve the quality and efficiency of research, groups within the scientific community seek to exploit the value of data sharing. Funders, institutions, and specialist organizations are developing and implementing strategies to encourage or mandate data sharing within and across disciplines, with varying degrees of success.

Academic journals in ecology and evolution have adopted several types of public data archiving policies requiring authors to make data underlying scholarly manuscripts freely available. The effort to increase data sharing in the sciences is one part of a broader “data revolution” that has prompted discussion about a paradigm shift in scientific research.

Yet anecdotes from the community and studies evaluating data availability suggest that these policies have not obtained the desired effects, both in terms of quantity and quality of available datasets.

We conducted a qualitative, interview-based study with journal editorial staff and other stakeholders in the academic publishing process to examine how journals enforce data archiving policies.

We specifically sought to establish who editors and other stakeholders perceive as responsible for ensuring data completeness and quality in the peer review process. Our analysis revealed little consensus with regard to how data archiving policies should be enforced and who should hold authors accountable for dataset submissions.

Themes in interviewee responses included hopefulness that reviewers would take the initiative to review datasets and trust in authors to ensure the completeness and quality of their datasets.

We highlight problematic aspects of these thematic responses and offer potential starting points for improvement of the public data archiving process.

URL : Enforcing public data archiving policies in academic publishing: A study of ecology journals

DOI : https://doi.org/10.1177/2053951719836258

Catégories
EN

Reading the fine print: A review and analysis of business journals’ data sharing policies

Authors : Brianne Dosch, Tyler Martindale

Business librarians offer many data services to their researchers. These services are often focused more on discovery, visualization, and analysis than general data management. But, with the replication crisis facing many business disciplines, there is a need for business librarians to offer more data sharing and general data management support to their researchers.

To find evidence of this data need, 146 business journal’s data sharing policies were reviewed and analyzed to uncover meaningful trends in business research. Results of the study indicate data sharing is not mandated by business journals.

However, data sharing is often encouraged and recommended. This journal policy content analysis provides evidence that business researchers have opportunities to share their research data, and with the right data management support, business librarians can play a significant role in improving the data sharing behaviors of business researchers.

DOI : https://doi.org/10.1080/08963568.2020.1847549